Abstract
A novel method for analyzing single-cell genomics enables direct inference of cell cycle and proliferation status, highlighting the diversity of proliferation rates in clonal cancer. This approach opens a new avenue for high-resolution exploration of the role of proliferation in cancer evolution at the single-cell level.
Original language | English |
---|---|
Journal | Nature Genetics |
Volume | 57 |
Issue number | 1 |
Pages (from-to) | 3-5 |
Number of pages | 3 |
ISSN | 1061-4036 |
DOIs |
|
Publication status | Published - 2025 |
Bibliographical note
Publisher Copyright:© Springer Nature America, Inc. 2024.